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Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009…

Overview of attention for article published in BMC Infectious Diseases, December 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Teacher led school-based surveillance can allow accurate tracking of emerging infectious diseases - evidence from serial cross-sectional surveys of febrile respiratory illness during the H1N1 2009 influenza pandemic in Singapore
Published in
BMC Infectious Diseases, December 2012
DOI 10.1186/1471-2334-12-336
Pubmed ID
Authors

Shu E Soh, Alex R Cook, Mark IC Chen, Vernon J Lee, Jeffery L Cutter, Vincent TK Chow, Nancy WS Tee, Raymond TP Lin, Wei-Yen Lim, Ian G Barr, Cui Lin, Meng Chee Phoon, Li Wei Ang, Sunil K Sethi, Chia Yin Chong, Lee Gan Goh, Denise LM Goh, Paul A Tambyah, Koh Cheng Thoon, Yee Sin Leo, Seang Mei Saw

Abstract

Schools are important foci of influenza transmission and potential targets for surveillance and interventions. We compared several school-based influenza monitoring systems with clinic-based influenza-like illness (ILI) surveillance, and assessed the variation in illness rates between and within schools.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Vietnam 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Student > Master 6 18%
Student > Ph. D. Student 5 15%
Student > Bachelor 3 9%
Lecturer > Senior Lecturer 3 9%
Other 6 18%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 13 38%
Agricultural and Biological Sciences 4 12%
Social Sciences 3 9%
Immunology and Microbiology 2 6%
Nursing and Health Professions 1 3%
Other 5 15%
Unknown 6 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 December 2012.
All research outputs
#2,311,917
of 5,032,959 outputs
Outputs from BMC Infectious Diseases
#1,182
of 2,668 outputs
Outputs of similar age
#114,444
of 284,055 outputs
Outputs of similar age from BMC Infectious Diseases
#72
of 185 outputs
Altmetric has tracked 5,032,959 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 2,668 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 51% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 284,055 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.